“…The proposed model significantly improves fake news and fake account detection, as highlighted by classification accuracy of 93.7%. …”
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“…A full mediation model which explores the relationships between the main variables related to fake news attitudes toward monkeypox was tested, reporting good fit indices. …”
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“…The rate at which jets fake electrons has also been calculated using data-driven techniques in W events.…”
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“…People are used to seeing “fake physics” in science fiction – concepts like faster-than-light travel, antigravity and time travel to name a few. …”
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“…Our hypothesis that cross-lingual evidence can be used as a feature for fake news detection is supported by manual experiments based on a set of true (legit) and fake news. …”
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“…By conducting large-scale surveys in Germany and the United Kingdom, we investigate the individual-level determinants of the ability to detect fake news and the inclination to share it. We distinguish between deliberate and accidental sharing of fake news. …”
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“…Fake artesunate could compromise the hope that artemisinin-based combination therapy offers for malaria control in Africa and Asia.…”
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“…BACKGROUND: Fake news and alternative facts have become commonplace in these so-called “post-factual times.” …”
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“…Within 45 days of the first reported case, the political crisis and turmoil caused by “fake news” are limiting the capacity and success of the MoH response to the pandemic.…”
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“…Several studies have suggested that people who engage in more reasoning are less likely to fall for fake news. However, the role of reliance on emotion in belief in fake news remains unclear. …”
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“…Inspired by the Daley-Kendall and Goffman-Newill models, we propose an Ignorant-Believer-Unbeliever rumor (or fake news) spreading model with the following characteristics: (i) a network contact between individuals that determines the spread of rumors; (ii) the value (cost versus benefit) for individuals who search for truthful information (learning); (iii) an impact measure that assesses the risk of believing the rumor; (iv) an individual search strategy based on the probability that an individual searches for truthful information; (v) the population search strategy based on the proportion of individuals of the population who decide to search for truthful information; (vi) a payoff for the individuals that depends on the parameters of the model and the strategies of the individuals. …”
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“…With the aim of helping the research in this detection field, we collected the first dataset of real deepfake tweets, TweepFake. It is real in the sense that each deepfake tweet was actually posted on Twitter. …”
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“…Thus, character deprecation in fake news may in be in supply, but not in demand.…”
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